of these offerings is the tech enablement of vast datasets to inform key decision makers on energy market trends and provide valuable insights. Our clients value not only our data insights, but also our suite of short-term forecasting tools. This has been built in our Enact platform through a combination of machine-learning, optimisation and fundamental models within … been leading for the last 6 years. As a key area of focus and growth for LCP Delta, we are now looking to improve, scale and build-out our data science capabilities. Our mid-term strategy is to deploy technology across all our existing offerings, leveraging in-house data and skills to maximise our impact on the energy … transition. This role will directly contribute to that strategy. This is an exciting opportunity for a datascientist with experience in energy market forecasting experience to join our fast-growing team and to play a key role in our growth. The role will involve developing new and working on existing applications using our in-house databases. Our current More ❯
Join a leading UK financial institution transforming the way data powers audit and assurance. You'll apply advanced analytics and data science techniques to drive innovation, enhance audit insights, and influence senior stakeholders across the Group. This is a hands-on role within a collaborative team committed to developing your technical and professional growth. Key Responsibilities Deliver advanced … analytics to assess control effectiveness and support audit delivery. Identify and apply innovative data science methods (e.g. Machine Learning, NLP, Generative AI) to enhance audit capabilities. Partner with audit teams to design, implement, and interpret analytical solutions. Promote data-driven culture through training, presentations, and innovation projects. Contribute to the development of analytics tools and methods within the … function. Maintain strong understanding of business processes, products, and risk frameworks. Key Requirements Proven experience using data analytics to support audit or risk functions. Strong proficiency in SQL and Python in a professional setting. Solid understanding of databases, data warehousing, and visualisation principles. Ability to explain complex technical topics to non-technical audiences. Experience with Power BI, Google More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
MORRIS SINCLAIR RECRUITMENT LTD
Pest Management (IPM) Remote Role – Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Science Engineer - Integrated Pest Management (IPM) Research & Solutions The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices … findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our client's Sustainability team as a lead technical specialist in our R-focused Research Software Engineering group to specialise particularly in Integrated Pest Management. You … ll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions to solve global issues in Integrated Pest Management (IPM). Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/CD systems to enhance team More ❯
recommendations. You won't be given directives; instead, you will spot opportunities and take the initiative to bring others together around effective solutions. Serving as a thought leader in data strategy, aligning teams around key insights and acting as a driver of data literacy and analytics best practices. Closely collaborating with senior leadership and taking the initiative to … keep things moving - identifying the opportunities where data can make the largest impact and see it through. Reporting on the performance of our marketing metrics at a campaign or channel level but also zooming out to see the big picture. Build and maintain dashboards for our International marketing teams, and make them look really good - you don't need … incrementality testing, and assessing marketing efficiency. You have experience with understanding marketing efficiency and building dashboards that effectively communicate results and outcomes You have competency with SQL; experience with data warehouses such as Snowflake, Redshift, or BigQuery is a plus You know how to wrangle and analyze data using Python or R. You're experienced in working with More ❯
framework in place but are nimble enough to explore innovative ways of working and thinking. This role will have a diverse set of responsibilities, with a focus on leveraging data to drive business decisions, improve customer experiences, and create efficiencies You’ll be supporting credit risk initiatives to ensure the business is able to deliver against the annual operating … prioritize tasks to ensure that delivery is met. RESPONSIBILITIES Model Development and Implementation Developing predictive models for high impact areas, e.g. credit decisioning, fraud detection, and customer segmentation. Ensure data integrity and quality through validation and auditing processes. Evaluation of scorecard effectiveness, with accompanying documentation. Monitor the ongoing effectiveness of the scorecards to ensure their relevance and need for … customer journeys, allowing identification for potential improvements that can be quantified through analysis or tests. Identify areas where modelling can create uplift in decisions, efficiency, and costs. Explore new data sources and methodologies to improve the customer journey and decisions. Controlling Credit Risk Propose, monitor, and analyze credit decisions, taking into consideration the regulatory environment and customer impact. Evaluate More ❯
framework in place but are nimble enough to explore innovative ways of working and thinking. This role will have a diverse set of responsibilities, with a focus on leveraging data to drive business decisions, improve customer experiences, and create efficiencies You’ll be supporting credit risk initiatives to ensure the business is able to deliver against the annual operating … prioritize tasks to ensure that delivery is met. RESPONSIBILITIES Model Development and Implementation Developing predictive models for high impact areas, e.g. credit decisioning, fraud detection, and customer segmentation. Ensure data integrity and quality through validation and auditing processes. Evaluation of scorecard effectiveness, with accompanying documentation. Monitor the ongoing effectiveness of the scorecards to ensure their relevance and need for … customer journeys, allowing identification for potential improvements that can be quantified through analysis or tests. Identify areas where modelling can create uplift in decisions, efficiency, and costs. Explore new data sources and methodologies to improve the customer journey and decisions. Controlling Credit Risk Propose, monitor, and analyze credit decisions, taking into consideration the regulatory environment and customer impact. Evaluate More ❯
london (city of london), south east england, united kingdom
ONMO
framework in place but are nimble enough to explore innovative ways of working and thinking. This role will have a diverse set of responsibilities, with a focus on leveraging data to drive business decisions, improve customer experiences, and create efficiencies You’ll be supporting credit risk initiatives to ensure the business is able to deliver against the annual operating … prioritize tasks to ensure that delivery is met. RESPONSIBILITIES Model Development and Implementation Developing predictive models for high impact areas, e.g. credit decisioning, fraud detection, and customer segmentation. Ensure data integrity and quality through validation and auditing processes. Evaluation of scorecard effectiveness, with accompanying documentation. Monitor the ongoing effectiveness of the scorecards to ensure their relevance and need for … customer journeys, allowing identification for potential improvements that can be quantified through analysis or tests. Identify areas where modelling can create uplift in decisions, efficiency, and costs. Explore new data sources and methodologies to improve the customer journey and decisions. Controlling Credit Risk Propose, monitor, and analyze credit decisions, taking into consideration the regulatory environment and customer impact. Evaluate More ❯
